Constructor Detail

• LinearOptimizer

  protected LinearOptimizer()

  Simple constructor with default settings.

Method Detail

• isRestrictedToNonNegative

  protected boolean isRestrictedToNonNegative()

  Returns:

  true if the variables are restricted to non-negative values.

• getFunction

  protected LinearObjectiveFunction getFunction()

  Returns:

  the optimization type.

• getConstraints

  protected Collection<LinearConstraint> getConstraints()

  Returns:

  the optimization type.

• optimize

  public PointValuePair optimize(OptimizationData... optData)
                          throws TooManyIterationsException

  Stores data and performs the optimization.

  The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.

  When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).

  Important note: Subclasses must override BaseOptimizer.parseOptimizationData(OptimizationData[]) if they need to register their own options; but then, they must also call super.parseOptimizationData(optData) within that method.

  Overrides:

  optimize in class MultivariateOptimizer

  Parameters:

  optData - Optimization data. In addition to those documented in MultivariateOptimizer, this method will register the following data:

  • LinearObjectiveFunction
  • LinearConstraintSet
  • NonNegativeConstraint

  Returns:

  a point/value pair that satisfies the convergence criteria.

  Throws:

  TooManyIterationsException - if the maximal number of iterations is exceeded.

• parseOptimizationData

  protected void parseOptimizationData(OptimizationData... optData)

  Scans the list of (required and optional) optimization data that characterize the problem.

  Overrides:

  parseOptimizationData in class MultivariateOptimizer

  Parameters:

  optData - Optimization data. The following data will be looked for:

  • LinearObjectiveFunction
  • LinearConstraintSet
  • NonNegativeConstraint